Seiki Ito

2.7k citations
123 papers · 2.1k indexed · h-index 27
Topics
Neuropeptides and Animal Physiology (18 papers)Neuroendocrine Tumor Research Advances (16 papers)Chronic Kidney Disease and Diabetes (16 papers)
Partner nations
JapanUnited StatesItaly

In The Last Decade

Seiki Ito

121 papers receiving 2.0k citations

Peers

Seiki Ito
Comparison fields: 5 of 120
  • Epidemiology 532
  • Molecular Biology 471
  • Nephrology 416
  • Endocrinology, Diabetes and Metabolism 358
  • Surgery 353
Replace G D Aurbach with:
G D Aurbach United States
Nicholas Obermüller Germany
Xiao‐Yan Wen Canada
Jürg A. Gasser Switzerland
Robert Shenkar United States
Sarah Y. Yuan United States
Yoram Wollman Israel
Lara R. Gawenis United States
Graeme B. Ryan Australia
Amandeep Bajwa United States
Seiki Ito relative to G D Aurbach United States G D Aurbach's profile →
Citations per field
00.5×10.8×
G D Aurbach · 1×
Citations per year

Countries citing papers authored by Seiki Ito

Since Specialization
Citations

This map shows the geographic impact of Seiki Ito's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Seiki Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiki Ito more than expected).

Fields of papers citing papers by Seiki Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seiki Ito. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Seiki Ito. The network helps show where Seiki Ito may publish in the future.

Co-authorship network of co-authors of Seiki Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Seiki Ito. A scholar is included among the top collaborators of Seiki Ito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seiki Ito. Seiki Ito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Prevention of microalbuminuria in type 2 diabetes (ROADMAP Trial)
3
2 5
3 1
4 66
5 99
6 7
7 49
8 51
9 28
10 13
11 25
12 16
13 35
14 2
15 8
16 16
17
Urinary Glycylprolyl Dipeptidylaminopeptidase Activity in Diabetes Mellitus
5
18 20
19 3
20 2

About Seiki Ito

Seiki Ito is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 123 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (18 papers), Neuroendocrine Tumor Research Advances (16 papers) and Chronic Kidney Disease and Diabetes (16 papers). The work is most often cited by research in Nephrology (416 citations), Endocrinology, Diabetes and Metabolism (358 citations) and Clinical Biochemistry (137 citations). Seiki Ito has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Takuma Narita, Masafumi Kakei, Hiroki Fujita, Akira Shibata, Takashi Shimotomai, Jun Koshimura, Tsukasa Morii, Mihoko Hosoba, Naomi Yoshioka and Hiromi Fujishima. Their work appears in journals such as Diabetes Care, Cancer and Macromolecules.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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